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Cited By

Learning to Succeed while Teaching to Fail: Privacy in Closed Machine
Learning Systems

Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems

23 May 2017

Guillermo Sapiro

ArXiv (abs)PDF HTML

Papers citing "Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems"

3 / 3 papers shown

Modeling the Trade-off of Privacy Preservation and Activity Recognition
on Low-Resolution Images

Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution ImagesInternational Conference on Human Factors in Computing Systems (CHI), 2023

Chun Yu

Shwetak N. Patel

143

11

0

18 Mar 2023

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias
in Deep Image Representations

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations

Vicente Ordonez

395

17

0

20 Nov 2018

Towards Privacy-Preserving Visual Recognition via Adversarial Training:
A Pilot Study

Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

273

163

0

22 Jul 2018